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Classes</h2></td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/dbe/structcv_1_1stereo_1_1MatchQuasiDense.html">MatchQuasiDense</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/dfc/structcv_1_1stereo_1_1PropagationParameters.html">PropagationParameters</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../dc/df4/classcv_1_1stereo_1_1QuasiDenseStereo.html">QuasiDenseStereo</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Class containing the methods needed for Quasi Dense Stereo computation.  <a href="../../dc/df4/classcv_1_1stereo_1_1QuasiDenseStereo.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d7/d8e/classcv_1_1stereo_1_1StereoBinaryBM.html">StereoBinaryBM</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige.  <a href="../../d7/d8e/classcv_1_1stereo_1_1StereoBinaryBM.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d1/d9f/classcv_1_1stereo_1_1StereoBinarySGBM.html">StereoBinarySGBM</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">The class implements the modified H. Hirschmuller algorithm <a class="el" href="../../d0/de3/citelist.html#CITEREF_HH08">[112]</a> that differs from the original one as follows:  <a href="../../d1/d9f/classcv_1_1stereo_1_1StereoBinarySGBM.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td align="right" class="memItemLeft" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d9/d07/classcv_1_1stereo_1_1StereoMatcher.html">StereoMatcher</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Filters off small noise blobs (speckles) in the disparity map.  <a href="../../d9/d07/classcv_1_1stereo_1_1StereoMatcher.html#details">More...</a><br/></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a>
Enumerations</h2></td></tr>
<tr class="memitem:ae93f4ada32b12123aeed26cb01094638"><td align="right" class="memItemLeft" valign="top">enum  </td><td class="memItemRight" valign="bottom">{ <br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638afd8fa32e4653c225c061fb2326b2eba0">CV_DENSE_CENSUS</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638ac08eff59ba7cfc0aa727e62530b32223">CV_SPARSE_CENSUS</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638aac1c7a2d4ad6f2a23a39bf8b760c00a7">CV_CS_CENSUS</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638aa217c4ece909e8d27bdcb50a12d81f6d">CV_MODIFIED_CS_CENSUS</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638a1bde9860c3201024e7b68e5dc71931c5">CV_MODIFIED_CENSUS_TRANSFORM</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638a0103fea918b22dd6e8882c5b06043d7e">CV_MEAN_VARIATION</a>, 
<br/>
  <a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638af1709c357cf1ba90ad602dde3cab283f">CV_STAR_KERNEL</a>
<br/>
 }<tr class="memdesc:ae93f4ada32b12123aeed26cb01094638"><td class="mdescLeft"> </td><td class="mdescRight">types of supported kernels  <a href="../../d2/d7f/namespacecv_1_1stereo.html#ae93f4ada32b12123aeed26cb01094638">More...</a><br/></td></tr>
</td></tr>
<tr class="separator:ae93f4ada32b12123aeed26cb01094638"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga0316af1df7908b2fb741f282dcb2ae74"><td align="right" class="memItemLeft" valign="top">enum  </td><td class="memItemRight" valign="bottom">{ <br/>
  <a class="el" href="../../dd/d86/group__stereo.html#gga0316af1df7908b2fb741f282dcb2ae74ad3a671c26e45b96aca07a4562d9b9db7">CV_SPECKLE_REMOVAL_ALGORITHM</a>, 
<br/>
  <a class="el" href="../../dd/d86/group__stereo.html#gga0316af1df7908b2fb741f282dcb2ae74ad2b1bbe8c716a18472feab8784695f5d">CV_SPECKLE_REMOVAL_AVG_ALGORITHM</a>
<br/>
 }<tr class="memdesc:ga0316af1df7908b2fb741f282dcb2ae74"><td class="mdescLeft"> </td><td class="mdescRight">speckle removal algorithms. These algorithms have the purpose of removing small regions  <a href="../../dd/d86/group__stereo.html#ga0316af1df7908b2fb741f282dcb2ae74">More...</a><br/></td></tr>
</td></tr>
<tr class="separator:ga0316af1df7908b2fb741f282dcb2ae74"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga5bfb3835151f6cced4c03aaa2b85422a"><td align="right" class="memItemLeft" valign="top">enum  </td><td class="memItemRight" valign="bottom">{ <br/>
  <a class="el" href="../../dd/d86/group__stereo.html#gga5bfb3835151f6cced4c03aaa2b85422aa9b1155a0c2c6722aa9e41c4c4d4c0a58">CV_QUADRATIC_INTERPOLATION</a>, 
<br/>
  <a class="el" href="../../dd/d86/group__stereo.html#gga5bfb3835151f6cced4c03aaa2b85422aa44f645f3eb948edfd55a5c9bb73dbd82">CV_SIMETRICV_INTERPOLATION</a>
<br/>
 }<tr class="memdesc:ga5bfb3835151f6cced4c03aaa2b85422a"><td class="mdescLeft"> </td><td class="mdescRight">subpixel interpolationm methods for disparities.  <a href="../../dd/d86/group__stereo.html#ga5bfb3835151f6cced4c03aaa2b85422a">More...</a><br/></td></tr>
</td></tr>
<tr class="separator:ga5bfb3835151f6cced4c03aaa2b85422a"><td class="memSeparator" colspan="2"> </td></tr>
</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:a7bee90a8682c60a5337dc1f2f59b5ef0"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a7bee90a8682c60a5337dc1f2f59b5ef0">censusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;image1, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;image2, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist2, const int type)</td></tr>
<tr class="separator:a7bee90a8682c60a5337dc1f2f59b5ef0"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a827079a329baa2fb521bdd7955b49bdf"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a827079a329baa2fb521bdd7955b49bdf">censusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;image1, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, const int type)</td></tr>
<tr class="memdesc:a827079a329baa2fb521bdd7955b49bdf"><td class="mdescLeft"> </td><td class="mdescRight">single image census transform  <a href="#a827079a329baa2fb521bdd7955b49bdf">More...</a><br/></td></tr>
<tr class="separator:a827079a329baa2fb521bdd7955b49bdf"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6bcf99a1fa63dd1e8b76c356e96c291e"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a6bcf99a1fa63dd1e8b76c356e96c291e">modifiedCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img2, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist2, const int type, int t=0, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;integralImage1=<a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>(), const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;integralImage2=<a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>())</td></tr>
<tr class="separator:a6bcf99a1fa63dd1e8b76c356e96c291e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a0b1ad174d25d87a8d51fc232cc09e3bb"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a0b1ad174d25d87a8d51fc232cc09e3bb">modifiedCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist, const int type, int t=0, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;integralImage=<a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>())</td></tr>
<tr class="memdesc:a0b1ad174d25d87a8d51fc232cc09e3bb"><td class="mdescLeft"> </td><td class="mdescRight">single version of modified census transform descriptor  <a href="#a0b1ad174d25d87a8d51fc232cc09e3bb">More...</a><br/></td></tr>
<tr class="separator:a0b1ad174d25d87a8d51fc232cc09e3bb"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a6637cc61e72252138c0fe0a40bb59f88"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a6637cc61e72252138c0fe0a40bb59f88">starCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img2, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist2)</td></tr>
<tr class="memdesc:a6637cc61e72252138c0fe0a40bb59f88"><td class="mdescLeft"> </td><td class="mdescRight">in a 9x9 kernel only certain positions are choosen  <a href="#a6637cc61e72252138c0fe0a40bb59f88">More...</a><br/></td></tr>
<tr class="separator:a6637cc61e72252138c0fe0a40bb59f88"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a50ad6ac4578f1ef9f276ce419cbaeab8"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a50ad6ac4578f1ef9f276ce419cbaeab8">starCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist)</td></tr>
<tr class="memdesc:a50ad6ac4578f1ef9f276ce419cbaeab8"><td class="mdescLeft"> </td><td class="mdescRight">single image version of star kernel  <a href="#a50ad6ac4578f1ef9f276ce419cbaeab8">More...</a><br/></td></tr>
<tr class="separator:a50ad6ac4578f1ef9f276ce419cbaeab8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3c38c6d7f6b72a5863b36689e677c69a"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a3c38c6d7f6b72a5863b36689e677c69a">symetricCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img2, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist2, const int type)</td></tr>
<tr class="separator:a3c38c6d7f6b72a5863b36689e677c69a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3404381e8573d3d01512545ba6409142"><td align="right" class="memItemLeft" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d7f/namespacecv_1_1stereo.html#a3404381e8573d3d01512545ba6409142">symetricCensusTransform</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;img1, int kernelSize, <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp;dist1, const int type)</td></tr>
<tr class="memdesc:a3404381e8573d3d01512545ba6409142"><td class="mdescLeft"> </td><td class="mdescRight">single version of census transform  <a href="#a3404381e8573d3d01512545ba6409142">More...</a><br/></td></tr>
<tr class="separator:a3404381e8573d3d01512545ba6409142"><td class="memSeparator" colspan="2"> </td></tr>
</table>
<h2 class="groupheader">Enumeration Type Documentation</h2>
<a id="ae93f4ada32b12123aeed26cb01094638"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ae93f4ada32b12123aeed26cb01094638">◆ </a></span>anonymous enum</h2>
<div class="memitem">
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          <td class="memname">anonymous enum</td>
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<p>types of supported kernels </p>
<table class="fieldtable">
<tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638afd8fa32e4653c225c061fb2326b2eba0"></a>CV_DENSE_CENSUS <div class="python_language">Python: cv.stereo.CV_DENSE_CENSUS</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638ac08eff59ba7cfc0aa727e62530b32223"></a>CV_SPARSE_CENSUS <div class="python_language">Python: cv.stereo.CV_SPARSE_CENSUS</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638aac1c7a2d4ad6f2a23a39bf8b760c00a7"></a>CV_CS_CENSUS <div class="python_language">Python: cv.stereo.CV_CS_CENSUS</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638aa217c4ece909e8d27bdcb50a12d81f6d"></a>CV_MODIFIED_CS_CENSUS <div class="python_language">Python: cv.stereo.CV_MODIFIED_CS_CENSUS</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638a1bde9860c3201024e7b68e5dc71931c5"></a>CV_MODIFIED_CENSUS_TRANSFORM <div class="python_language">Python: cv.stereo.CV_MODIFIED_CENSUS_TRANSFORM</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638a0103fea918b22dd6e8882c5b06043d7e"></a>CV_MEAN_VARIATION <div class="python_language">Python: cv.stereo.CV_MEAN_VARIATION</div></td><td class="fielddoc"></td></tr>
<tr><td class="fieldname"><a id="ae93f4ada32b12123aeed26cb01094638af1709c357cf1ba90ad602dde3cab283f"></a>CV_STAR_KERNEL <div class="python_language">Python: cv.stereo.CV_STAR_KERNEL</div></td><td class="fielddoc"></td></tr>
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<h2 class="groupheader">Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a7bee90a8682c60a5337dc1f2f59b5ef0">◆ </a></span>censusTransform() <span class="overload">[1/2]</span></h2>
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          <td class="memname">void cv::stereo::censusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>image1</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>image2</em>, </td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist2</em>, </td>
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          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em> </td>
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          <td>)</td>
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<p>Two variations of census applied on input images Implementation of a census transform which is taking into account just the some pixels from the census kernel thus allowing for larger block sizes </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a827079a329baa2fb521bdd7955b49bdf">◆ </a></span>censusTransform() <span class="overload">[2/2]</span></h2>
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          <td class="memname">void cv::stereo::censusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>image1</em>, </td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em> </td>
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          <td>)</td>
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<p>single image census transform </p>
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<a id="a6bcf99a1fa63dd1e8b76c356e96c291e"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a6bcf99a1fa63dd1e8b76c356e96c291e">◆ </a></span>modifiedCensusTransform() <span class="overload">[1/2]</span></h2>
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          <td class="memname">void cv::stereo::modifiedCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img2</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist2</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em>, </td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>t</em> = <code>0</code>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>integralImage1</em> = <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>()</code>, </td>
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          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>integralImage2</em> = <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>()</code> </td>
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          <td>)</td>
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<p>STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a0b1ad174d25d87a8d51fc232cc09e3bb">◆ </a></span>modifiedCensusTransform() <span class="overload">[2/2]</span></h2>
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          <td class="memname">void cv::stereo::modifiedCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img1</em>, </td>
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          <td></td>
          <td class="paramtype">int </td>
          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em>, </td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>t</em> = <code>0</code>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>integralImage</em> = <code><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a>()</code> </td>
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<p>single version of modified census transform descriptor </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a6637cc61e72252138c0fe0a40bb59f88">◆ </a></span>starCensusTransform() <span class="overload">[1/2]</span></h2>
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          <td class="memname">void cv::stereo::starCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img2</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist2</em> </td>
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          <td>)</td>
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<p>in a 9x9 kernel only certain positions are choosen </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a50ad6ac4578f1ef9f276ce419cbaeab8">◆ </a></span>starCensusTransform() <span class="overload">[2/2]</span></h2>
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          <td class="memname">void cv::stereo::starCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img1</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist</em> </td>
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          <td>)</td>
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<p>single image version of star kernel </p>
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<h2 class="memtitle"><span class="permalink"><a href="#a3c38c6d7f6b72a5863b36689e677c69a">◆ </a></span>symetricCensusTransform() <span class="overload">[1/2]</span></h2>
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          <td class="memname">void cv::stereo::symetricCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>img2</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist2</em>, </td>
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          <td class="paramkey"></td>
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          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em> </td>
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          <td>)</td>
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<p>The classical center symetric census A modified version of cs census which is comparing a pixel with its correspondent after the center </p>
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          <td class="memname">void cv::stereo::symetricCensusTransform </td>
          <td>(</td>
          <td class="paramtype">const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
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          <td class="paramtype">int </td>
          <td class="paramname"><em>kernelSize</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="../../d3/d63/classcv_1_1Mat.html">Mat</a> &amp; </td>
          <td class="paramname"><em>dist1</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype">const int </td>
          <td class="paramname"><em>type</em> </td>
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          <td>)</td>
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<p>single version of census transform </p>
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